Ubiquitous Computing Architecture With Local 6G Compute Failover

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Solution Overview

Problem

Existing wireless network technologies lack efficient mechanisms for ubiquitous computing, particularly in 6G systems, where compute functions are not integrated into the network infrastructure, leading to challenges in resource management and failover scenarios.

Innovation Solution

A system architecture is proposed that integrates Distributed Computing Management Functions (DCMF) and Network Compute Repository Functions (NCRF) at both central and local levels, enabling mode switching and orchestration to manage compute resources efficiently, with local DCMF/NCRF instances hosted on devices, and includes a Distributed Computing Event Monitoring Function (DCEMF) for supervision and event monitoring.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If compute functions are integrated into the network infrastructure at central and local levels, then resource management efficiency and failover capabilities are improved, but device complexity and system architecture complexity increase

Engineering Contradiction:

Improvefailover capabilitiesVSAvoidsystem architecture complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the computing management function into two distinct components: a centralized DCMF for overall resource orchestration and local DCMF instances deployed on network infrastructure devices for distributed decision-making. This segmentation enables failover capabilities by allowing local instances to operate autonomously when central coordination is unavailable, while maintaining manageable complexity through clear separation of centralized and distributed responsibilities.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces a new dimensional aspect to network architecture by integrating computing management functions directly into the network infrastructure layer, rather than treating computing as a separate external service. This dimensional integration enables seamless coordination between network and computing resources, improving reliability through tighter coupling while managing complexity through standardized interface definitions.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

2Adaptability or versatility

If local DCMF/NCRF instances are hosted on devices, then resource allocation flexibility and availability are improved, but energy consumption and device resource utilization increase

Engineering Contradiction:

Improveresource allocation flexibilityVSAvoiddevice energy consumption

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The patent implements dynamic resource allocation where local DCMF instances on network devices can adaptively adjust their operational state based on available resources and demand conditions. The system dynamically scales computing resource allocation, activating local instances only when needed for specific workloads or failover scenarios, thereby achieving flexibility while managing energy consumption through on-demand activation rather than continuous operation.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent changes the operational parameters of local DCMF instances by allowing them to transition between different states (active, dormant, suspended) based on resource availability and workload demands. This parameter-based state management enables the system to achieve adaptability by adjusting the level of local computing management activity, consuming energy only when local resources are actively utilized rather than maintaining constant high-level operation.

Inventive Principle:

Principle #35Parameter changes

3Device complexity

If compute functions are not integrated into the network infrastructure, then device complexity is reduced, but resource management efficiency and failover capabilities deteriorate

Engineering Contradiction:

Improvesystem architecture complexityVSAvoidresource management efficiency

Core Design Contradiction:

Device complexityVSProductivity

Solution Approach 1:

The patent makes network infrastructure devices multi-functional by enabling them to host both traditional network functions and local DCMF/NCRF computing management instances. This universality allows the same physical infrastructure to provide both network connectivity and local computing coordination, improving resource management efficiency through integrated control while avoiding the complexity of entirely separate computing hardware infrastructure.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20260058887A1Technologies for ubiquitous computing

Publication Date: 2026.02.26 APPLE INC

AI summary

The present application relates to devices and components including apparatus, systems, and methods for ubiquitous computing.